
Controller Design
Multivariate Adaptive Controller Design with Constraints under Uncertainty
LAP Lambert Academic Publishing
Published on 22. January 2010
Book
Paperback/Softback
96 pages
978-3-8383-4046-3 (ISBN)
Description
With advances in control theory and increasing capability of computers, more complicated mathematical models behind the controllers could be applied. On the other hand, a new difficulty appeared. Sophisticated controllers are more difficult to apply and commit. They are dependent on many tunable parameters, which have to be properly set up. Unfortunately, the meaning of these tuning parameters is mostly far from the user''s understanding of the control task and his objective. In contrast to the case of PID controllers, only few articles about tuning of modern controllers are published. This work aims at development of the complete design algorithm for advanced controllers such as the LQG one and put them through to real applications. The system knowledge is incomplete. The Bayesian estimation delivers the parameters not as known numbers but as their probability density function. The tuning is performed for the whole class of possible models thus it takes into account the uncertainty.
More details
Language
English
Place of publication
Germany
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 220 mm
Width: 150 mm
Thickness: 6 mm
Weight
161 gr
ISBN-13
978-3-8383-4046-3 (9783838340463)
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Schweitzer Classification
Persons
Mirosloav Novák made his research at Czech Technical University, Faculty of Nuclear Sciences and Physical Engineering in Prague and at Academy of Sciences of the Czech Republic, Institute of Information Theory and Automation.